Saints @ Panthers: Result, Lines & ATS Trends (Week 2, 2023)

Mon, Sep 18, 2023, 7:15 PM EDTWeek 2 · at Carolina Panthers · Division game

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New Orleans Saints

1-0 · Power #11

▲ winner

Final

Carolina Panthers

0-1 · Power #31

final

Closing spread

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Total

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Model before kickoff

NO 25–23 CAR

✓ NO (58%) won

Loading the recap…

ATS

Records before kickoff

	Season	Cover	Venue	Role
NO –	0-0	—	—	—
CAR –	0-0	—	—	—

Venue/role: NO away; CAR home. Squares: last 5 games ATS (W covered, L didn’t), oldest first.

Totals

Over/under before kickoff

	O-U	Over %	SU
NO –	0-0	—	1-0
CAR –	0-0	—	0-1

Squares: last 5 games (O over, U under), oldest first. Hover for the score and line.

Last 10 games

Before kickoff, this and last season

	Straight up	Spread	Over / under
NOlast 1	1-0 100%	0-0 —	0-0 —
CARlast 1	0-1 0%	0-0 —	0-0 —

Wins-losses (pushes and ties last). Spread and over / under skip games without a line.

Recent meetings

The series

NO 31–24 CAR NO leads · 55 games since 1999 · NO has won the last 2 meetings

All-time series from nflverse.

Matchup stats

Season to date before kickoff · ranks among 32 teams

Longer bar = better

CAR

#21

Offense

◀ NO better

#29

Defense

◀ NO better

#10

+1.0 #9

Turnovers

◀ NO better

−3.0 #31

64 plays #16

Pace

CAR faster ▶

72 plays #4

Unit by unitEach offense against the other's defense

When NO has the ball

Advantage: CAR defense

	NO off	CAR def	Edge
Points / game	16.0 #25	24.0 #15	CAR
Yards / play	5.48 #8	4.60 #7	Even
EPA / play	−0.09 #20	−0.11 #13	CAR
Success rate	35% #31	38% #6	CAR

When CAR has the ball

Advantage: NO defense

	CAR off	NO def	Edge
Points / game	10.0 #31	15.0 #4	NO
Yards / play	3.90 #31	4.83 #11	NO
EPA / play	−0.27 #29	−0.22 #3	NO
Success rate	39% #26	29% #2	NO

Bars show league standing (dashed mark = league middle); Offense and Defense use the average rank across the four stats below. In the tables, a highlighted value and the Edge column mark the side ranked better by at least 15% of the league; defense values are what that team allows. Yards and turnovers from ESPN box scores; EPA from nflverse play-by-play. Descriptive only: the model already uses these.